Combining every season — this one is larger, give it a moment.
Team reportPremier League 2026
Liverpool
A possession-dominant side, aggressive high-press out of possession, with a moderate attack. Currently #4 of 20 on 15 points (4-3-1, 11:8). Tactical profile below is built from 8 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Liverpool and how good was the season?
Read. Liverpool currently sit #4 of 20 on 15 points (4W-3D-1L, 1.88 pts/game), scoring 11 and conceding 8 for a goal difference of +3.
On the ball they are a possession-dominant team (56% field tilt, #6 in the league); off it they defend with a aggressive high-press (#10 of 20 for press intensity).
Across the 8 matches of event data, they create 1.48 xG/game (#8) and concede 1.27 (#8), a net of +0.20 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Liverpool actually finish, and against whom?
The authoritative final table (full season), centred on Liverpool.
#
team
P
W
D
L
GF
GA
GD
Pts
1
Man City
8
7
0
1
20
9
+11
21
2
Arsenal
8
7
0
1
13
5
+8
21
3
Brighton
8
5
1
2
23
7
+16
16
4
Liverpool
8
4
3
1
11
8
+3
15
5
Chelsea
8
4
1
3
17
15
+2
13
6
Brentford
8
2
5
1
14
9
+5
11
7
Leeds
8
2
5
1
9
6
+3
11
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Liverpool actually dominate for chances — and which periods hurt them?
Net xG (created minus conceded) in each 15-minute window, summed across the whole season's matches — above the line is time they dominate for chances, below is time it hurts them. Real on-clock shot timing.
dominant (net xG for)conceding (net xG against)
Vision AI Model Insight
Liverpool tend to come alive after the break — first-half net xG -0.32, second-half +1.95. Their strongest period is 46-60' (net +1.78 xG); their most dangerous period to face is 0-15' (net -0.87 xG against them).
xG Race — the season, match by match
Expected goals piling up over 8 matches: Liverpool against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (+1.6 xG). Hover a point for that match.
LiverpoolOpponents against Liverpool
Tactical DNA
The football question
In five genes, what is Liverpool's footballing identity?
Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.
68
Build-Up
possession control from the back
65
Progression
moving the ball upfield with threat
57
Creation
manufacturing chances
60
Press
winning the ball high & hard
60
Solidity
resisting the opponent's threat
Genetic identity
Liverpool are defined most by their Build-Up DNA (68/100 · strong at possession control from the back), and least by their Creation DNA (57/100). Percentiles vs the 20 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
83%
Possession
91%
Field tilt
87%
Disrupt
Central progression ~proxy
87%
Dribble tendency
26%
Progressive passes
87%
Finish
Final-third patience
83%
Shot quality
39%
Open-play xG
87%
Press
Forward press ~proxy
61%
High regains
70%
Pressing efficiency ~proxy
87%
Defend
Def-mid press ~proxy
78%
High line ~proxy
48%
PAdj defensive actions
74%
Liverpool is defined most by Possess (87% in the league) and weakest on Disrupt (67%). Percentiles vs the 23 teams in the league this season.
In possession
In possession
How they keep the ball, build up, progress, create and finish, and where their attacks die.
How much of the pitch does Liverpool actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Liverpool's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; Liverpool highlighted. Hover any dot for the team.
Vision AI Model Insight
Liverpool post 56% field tilt, ranking #6 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.88 points/game sits above the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Liverpool has the ball, how much of that time is spent building, progressing and creating?
The share of Liverpool's time on the ball spent in each phase of play, in the order the phases happen. A phase is where the ball is on the pitch (own third, middle third, final third); a transition or a set piece skips the build-up and is counted on its own.
Phase
Share of the time
Build-up
20.5%
Progression
49.8%
Chance creation
27.3%
Attacking transition
2.3%
Vision AI Model Insight
Progression is where Liverpool spends most of its time on the ball (50% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Dijk ↔ Jacquet
166p · 0.1xT
Dijk ↔ Kerkez
115p · -0.8xT
Dijk ↔ Becker
104p · 0.2xT
Araujo ↔ Jacquet
72p · -0.3xT
Dijk ↔ Allister
71p · 0.2xT
Szoboszlai ↔ Jacquet
71p · 0.2xT
Dijk ↔ Szoboszlai
69p · -0.3xT
Becker ↔ Jacquet
67p · -0.0xT
Allister ↔ Szoboszlai
63p · 0.3xT
Dijk ↔ Wirtz
62p · -0.1xT
Vision AI Model Insight
Busiest connection: Virgil van Dijk ↔ Jérémy Jacquet (166 passes). Most dangerous per pass: Cody Gakpo ↔ Milos Kerkez (0.06 xT/pass over 35 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Liverpool had the ball
Every touch across 80 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Liverpool actually do its on-ball work?
Passes on one map, carries (the ball travelling with a player) on the other. Each is binned into the 15 pitch zones (three thirds × five vertical lanes) and shaded by its share of that kind of action; the arrows are the real actions.
Passes
the ball moved by a pass
4021
ACTIONS
Carries
the ball moved with a player
825
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left half-space of the middle third (12.0% of all actions). 63% of actions run through the inside lanes (centre + both half-spaces) versus 37% down the two wings — an inside-dominant, half-space build. By third: 23% defensive, 52% middle, 25% attacking.
Attack Sides
Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. Liverpool leaned on their left (41%). The bars under the pitch put the league’s share beside theirs.
Liverpool
41%25%35%
League
39%24%37%
Final-Third Entries
Every completed pass or carry that took the ball from outside the final third into it, by the channel it arrived in. Liverpool made 434 this season (54.2 a match); 29% came into the left wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
127
15.9
29%
31%
Left half-space
72
9.0
17%
16%
Centre
58
7.2
13%
13%
Right half-space
50
6.2
12%
14%
Right wing
127
15.9
29%
27%
Build-up2 sections
Build-Up — the pass map
The football question
How does Liverpool progress possession from defence into attack — and who runs it?
Build-up passes grouped into 5 real categories — not the old zone grid, not raw individual lines: CB (passer is a centre-back), Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
949build-up passes attempted
79%completed
33%reach the middle third
2%go long into the final third
Pass types
306CB · 41%
56Long Wide · 7%
4Long Central · 1%
283Wide → FB · 38%
101Central · 13%
Sequence success — build-up
86build-up sequences this season
16%succeed — reach the next third or a shot
34%turned over with nothing to show
CB306 · 41%
Long Wide56 · 7%
Long Central4 · 1%
Wide → FB283 · 38%
Central101 · 13%
◆ Vision AI Insight
Liverpool build predominantly down the right, with Becker as the fulcrum (198 build-up passes). Only 35% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (51×).
Pass Explorer
Every pass of Liverpool’s last 8 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 362 progressive passes across 8 matches (45.2/game).
Origin lane
Right wing
27%
Right half-space
17%
Central
16%
Left half-space
17%
Left wing
23%
Progression is right-dominant: 44% right side · 16% central · 40% left.
Who generates it
Virgil van Dijk
43 · 12%
Dominik Szoboszlai
35 · 10%
Ronald Araujo
33 · 9%
Alexis Mac Allister
33 · 9%
Jérémy Jacquet
32 · 9%
Top two — Virgil van Dijk & Dominik Szoboszlai — account for 22% of all progression.
PROGRESSION
45.2 prog passes/game
mostly right
→
PENETRATION
27% reach final third
15% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 15% the box; the rest was recycled in front of the block. 22% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Liverpool have the ball in midfield, how do they actually break into the final third — and who carries that job?
Progression passes grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
2083progression passes attempted
85%completed
20%break into the final third
8%go backward into the defensive third
Pass types
578CB · 33%
81Long Wide · 5%
14Long Central · 1%
889Wide → FB · 50%
213Central · 12%
Sequence success — progression
206progression sequences this season
31%succeed — reach the next third or a shot
37%turned over with nothing to show
CB578 · 33%
Long Wide81 · 5%
Long Central14 · 1%
Wide → FB889 · 50%
Central213 · 12%
◆ Vision AI Insight
Liverpool progress predominantly down the left, with Dijk the busiest midfield outlet (325 progression passes). Only 20% of passes that start in midfield actually break the final-third line — the rest (72%) is recycled back into midfield or (8%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LW mid → LHS mid (96×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
15%
Progressive
1%
Neutral / sideways
49%
Safe / backward
35%
16% of passes are progressive-or-better; the remaining 84% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Liverpool actually progress the ball with their feet, not a pass?
202 progressive carries this season across the whole squad (24% of 825 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 46m. Most active carrier: Dijk (30). Filter to one player below.
First (71)Second (62)Third (45)Fourth (24)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Chance creation4 sections
Chance creation — how the shots come
The question
Where do Liverpool's chances actually come from?
Every shot sorted twice. First by the kind of attack: an attacking transition (the shot came within 15 seconds of winning the ball), a settled attack (open play after the team had the ball), or a set piece. Then by how it was set up: a cross, a cut-back, a long ball, a pass into the box, or no pass at all (the player created it himself). So a cut-back from an attacking transition is counted apart from a cut-back in a settled attack.
123shots
11.8xG
0.10xG per shot
6big chances (0.3+ xG)
10goals
#6key passes / game in the league
#14box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition26% of shots
32
3
2.76
0.09
Cross
2
0
0.30
0.15
Cut-back
1
0
0.09
0.09
Long ball
1
0
0.07
0.07
Pass into the box / short pass
19
3
1.56
0.08
Own creation (carry, dribble, rebound)
9
0
0.73
0.08
Settled attack50% of shots
61
6
5.48
0.09
Cross
8
1
1.31
0.16
Cut-back
7
1
0.73
0.10
Long ball
2
1
0.13
0.07
Pass into the box / short pass
37
3
2.81
0.08
Own creation (carry, dribble, rebound)
7
0
0.50
0.07
Set piece24% of shots
30
1
3.59
0.12
Corner
21
0
2.60
0.12
Free kick
8
0
0.20
0.02
Penalty
1
1
0.79
0.79
Every attempt to create — and what came of it
Every pass into the box, every cut-back and every pass before a shot. Red led to a shot, gold to a goal; grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball. Filter by outcome, type or player; tap an arrow for the detail.
Who sets the shots up
Player
Set-ups
xG created
Goals
Cody Gakpo
14
1.98
4
Florian Wirtz
15
1.00
2
Bradley Barcola
7
0.91
2
Jeremie Frimpong
8
0.71
0
Dominik Szoboszlai
6
0.69
0
Who takes them
Player
Shots
xG
Goals
Alexander Isak
20
4.04
6
Florian Wirtz
16
1.57
0
Dominik Szoboszlai
14
1.27
1
Cody Gakpo
16
1.05
1
Víctor Muñoz
12
0.81
2
Vision AI Model Insight
The biggest source of Liverpool's chances, by xG, is settled attack (5.5 of 11.8 xG, 61 of 123 shots), mostly pass into the box / short pass. 32 of the 123 shots (26%) came within 15 seconds of winning the ball. 30 of the 123 shots came from set pieces; 10 goals from 11.8 xG (-1.8).
Chance Creation — the pass map
The football question
How does Liverpool consistently create dangerous chances — from which zones, and who creates them?
Key passes (the pass immediately before a shot) grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top creator.
Pass types
5CB · 6%
4Long Wide · 5%
5Long Central · 6%
35Wide → FB · 41%
37Central · 43%
Sequence success — final-third
148final-third sequences this season
26%succeed — produce a shot
34%turned over with nothing to show
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB5 · 6%
Long Wide4 · 5%
Long Central5 · 6%
Wide → FB35 · 41%
Central37 · 43%
Who creates — volume × threat
21Wirtz
13Gakpo
11Szoboszlai
7Allister
7Frimpong
6Barcola
4Kerkez
86key passes #6 of 20
11.2box entries/game #14 of 20
45.0final-3rd entries/game #3 of 20
1.48xG/game #8 of 20
10goals #9 of 20
-1.8finishing vs xG #13 of 20
◆ Vision AI Insight
Liverpool lean right — 41% of their key passes come from that flank and its half-space (35 of 86), most often from Szoboszlai (9). They funnel chances into the c of the final third, most often via RW att → C att (15 key passes, most often from Szoboszlai). Wirtz is the primary source overall. They generate 1.48 xG a game and finish it wasteful — they under-perform their xG, led by Alexander Isak (6G), Víctor Muñoz (2G), Cody Gakpo (1G).
Crosses & Cutbacks — squad-wide
The question
How does Liverpool deliver into the box from wide areas, and what comes of it?
116 crosses: 25 found a team-mate (22%), 9 led to a shot (8%). 31 cut-backs: 15 found a team-mate (48%), 9 led to a shot (29%). A cross starts wide and is aimed into the box; a cut-back starts near the byline and is squared back. Grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball.
Crosses by Territory
The question
Which part of the final third does Liverpool actually cross from?
116 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 29% come from one territory, the byline right wing; 5 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
34
29%
6
advanced · right wing
22
19%
3
byline · left wing
21
18%
0
advanced · left wing
20
17%
0
deep · left wing
8
7%
0
deep · right wing
6
5%
0
advanced · left half-space
3
3%
0
byline · right half-space
1
1%
0
byline · left half-space
1
1%
0
Finishing3 sections
Shot Map
123 shots for 11.8 xG (1.48/game, #8 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 15.4 shots/game at 0.096 xG/shot. Box entries 11/game (#14). Threat created 11.6 xT/game (#7).
Goal Sequences
The move behind each of Liverpool’s 11 goals this season, from the moment they got the ball to the finish. Pick a goal from the list, then step through it or press Play: numbered circles are passes and touches, dotted lines are carries (the ball travelling with a player), dashed grey is a pass that was lost, the star is the shot.
Each goal’s possession, rebuilt from the raw event feed — 11 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Liverpool scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
9 · 90%
Set pieces
0 · 0%
Penalties
1 · 10%
By finish
Right foot
5 · 50%
Left foot
5 · 50%
Header
0 · 0%
Vision AI Model Insight
10 goals scored. 90% come in open play; set pieces add 0%. Open play is clearly their main route to goal.
When they lose it1 section
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
253
Failed forward pass
173
Failed take-on
96
Lost in the defensive third
199
Their weakest zone is the right wing in the defensive third: 35% of 154 pass attempts there are lost (54 times). Separately, 33% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does Liverpool press, where, and does it actually work — beyond a single PPDA number?
A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.
59
Pressing Index /100 · average
Intensity48
PPDA, high-press share, high-zone actions
Height65
how high up the pitch they defend
Effectiveness78
high recoveries & high-regain share
Disruption40
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
23%
RHS
19%
C
21%
LHS
19%
LW
18%
By third (high / mid / low regain)
Def 43%
Mid 44%
Att 14%
Read
Ranked #10 of 20 for press intensity, this is a high press. 57% of defensive actions happen in the middle & attacking thirds, at an average height of 40. Of recoveries, 60% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#10/20
lower = more intense; rank is what matters
Defensive actions / game
152
#16/20
High-press share
23%
#11/20
def actions won high up
Defensive-action height (0–100)
40.2
#7/20
avg pitch height of actions
High recoveries / game
23.0
#5/20
ball won in mid+att third
High-recovery share
60%
#4/20
share of recoveries won high
Opponent completion allowed
77%
#4/20
lower = more disruptive
Opponent progressive allowed
10.4%
#20/20
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before Liverpool win it back with a defensive action?
Counted over the 237 opposition possessions that Liverpool ended with a tackle, interception, recovery or challenge. Fewer passes and seconds means the ball is won quickly (a press); more means the opponent is allowed to play before Liverpool step in. Liverpool win it after 4.7 opponent passes in the first half-hour and after 4.2 after the hour mark (sooner).
PASSES THEY GET
4.4passes
median 3 · before Liverpool win it
TIME THEY KEEP IT
13sec
median 6s · 29.6 wins per game
How many passes the opponent got in before the ball was won
48%
28%
14%
11%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
4.4
12s
15–30′
5.0
16s
30–45+′
4.7
16s
45–60′
4.1
12s
60–75′
3.6
11s
75–90+′
4.6
14s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Liverpool does. This says
how: wide or central, short or long, patient or direct. Bars are standard deviations
from the league mean for passes played from that third; a solid bar marks a dimension
where Liverpool are genuinely unusual, and a verdict is only written where something clears
0.85 sd — a side that is ordinary in a third is told so rather than given a label
for average play.
Build-up (own third) 949 passes
less recycling
Width of use+0.1321.27
Wide-channel share-0.070.30
Side bias-0.56-1.95
Pass length+0.2023.43
Long-ball share+0.050.23
Forward gain per pass+0.2912.71
Backward-pass share-0.900.16
Deep-pass share+0.180.30
Completion-0.080.79
Seconds between passes+0.293.50
Side used
left 25% · central 45% · right 30%
Progression (middle third) 2,083 passes
less recycling
Width of use-0.2225.11
Wide-channel share-0.440.37
Side bias+0.592.40
Pass length+0.4117.80
Long-ball share+0.250.11
Forward gain per pass+0.704.66
Backward-pass share-1.010.29
Deep-pass share+0.500.19
Completion-0.030.84
Seconds between passes+0.123.25
Side used
left 39% · central 30% · right 32%
Final third 989 passes
nothing unusual in this zone
Width of use-0.7929.66
Wide-channel share-0.780.52
Side bias+0.362.08
Pass length-0.0315.42
Long-ball share-0.620.07
Forward gain per pass-0.750.04
Backward-pass share+0.590.42
Deep-pass share-0.420.07
Completion+0.570.74
Seconds between passes-0.033.38
Side used
left 43% · central 20% · right 37%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Liverpool's own league. The means
behave as football should: width of use grows 21.0 → 25.6 → 31.6 going forward,
pass length shrinks 22.7 → 17.2 → 15.5 m, and completion is hardest in the
final third. Tempo is integer-resolution because the feed records whole seconds.
Transitions1 section
Transitions — attacking & defensive
The question
When Liverpool win or lose the ball, what actually happens in the seconds after?
Reconstructed from the full timestamped event stream: real possession spells (not zone-clustered), and shots that follow a regain within a fixed window. This phase of play needs ordered, per-event timestamps — which every match here carries.
Direct play share15%
#19 of 20 · reaches final third in ≤3 passes
Patient build-up share32%
#4 of 20 · spells of 6+ passes
Tempo (possession length)20.0s
#16 of 20 · shorter = faster tempo
Passes per possession5.2
#3 of 20
Counter-attack shots /game1.24
#4 of 20 · shot within 12s of a regain in own half
Press→shot /game3.39
#3 of 20 · shot within 8s of a high regain
Speed to final third after regain12.4s
#9 of 20 · lower = faster break
Sequence success — attacking transition
8attacking transition sequences this season
25%succeed — produce a shot
25%turned over with nothing to show
Sequence success — defensive transition
40defensive transition sequences this season
58%succeed — reach the next third or a shot
10%turned over with nothing to show
Vision AI Model Insight
Liverpool are a patient build-up side: 15% of possessions reach the final third in 3 passes or fewer (#19 of 20), against 32% built patiently over 6+ passes (#4 of 20). Winning the ball back leads to a shot inside 12 seconds 1.24 times a game (#4), and a high regain converts to a shot within 8 seconds 3.39 times a game (#3 of 20) — a genuine transition weapon.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Liverpool? 373 opponent progressive passes and 100 shots faced (10.2 xG against) across the season.
Opponent threat by lane (attacking into Liverpool)
Right wing
25%
Right half-space
13%
Central
20%
Left half-space
13%
Left wing
29%
Where the danger came from. Opponents generated most of their threat through the left wing (29% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Liverpool actually come from — open play, dead balls, and who supplies them?
Every goal Liverpool conceded across the loaded matches — the opponent's shots in Liverpool's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.
Where the goals go in
Every opponent key pass against them (75 total)
By situation
Open play
7 · 88%
Set pieces
0 · 0%
Penalties
1 · 12%
Vision AI Model Insight
8 goals conceded. 88% come in open play; set pieces account for only 0%, so dead-ball defending is not the main issue. 12% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the centre of the attacking third (21% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
9 g · 8.2 xG
Set pieces
0 g · 2.8 xG
Penalties
1 g
0% of goals come from set pieces (0 of 10), worth 2.8 xG from 29 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Liverpool's corners go?
38 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (18)
Delivered into the box 94%Short 6%
Left side (20)
Delivered into the box 95%Short 5%
Where opponents attack Liverpool from set pieces
9 shots from opponent corners against Liverpool, 0 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (4)
Shot 4Goals 0
Left flag (5)
Shot 5Goals 0
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
shots /game — 15.38 (80th pct)
field tilt % — 56.12 (70th pct)
progression /game — 45.25 (65th pct)
threat created /game — 11.56 (65th pct)
pass retention % — 81.10 (65th pct)
Weaknesses (bottom-third vs league)
box entries /game — 11.25 (30th pct)
Style Archetype & Similar Teams
Team archetype: High-press possession side. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Brighton
77%
Man Utd
56%
Man City
54%
Bournemouth
42%
Tottenham
39%
Performance vs Opponent Styles
The question
Not just how Liverpool results against a high press or a low block — how does their own play actually change?
Every match split into three tiers by how hard that specific opponent pressed (opponent PPDA — lower means a more aggressive press), matching Liverpool's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (2m)
1.00
1.50
1.50
vs mid-block opponents (2m)
1.50
1.00
2.00
vs low-block opponents (4m)
1.50
0.75
2.00
Behaviour — how Liverpool actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
73%
18%
40
8.6
9.0
vs mid-block opponents
81%
14%
50
12.4
11.5
vs low-block opponents
84%
11%
46
12.6
12.2
Vision AI Model Insight
Facing a high press, retention drops to 73% vs 84% against a low block (11pt lower under pressure), and directness (long-ball share) sits at 18% when pressed vs 11% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. Liverpool are possession-dominant with a aggressive high-press.
Their attack creates 1.48 xG a game and they concede 1.27 a game.
[Event-data based — no tracking, so off-ball structure and marking scheme need video.]
For each of ten match numbers, the one match this season that departed furthest from Liverpool’s own average, the eight biggest swings first. Bar right of centre means more than usual, left means less. It shows how much the way they play moves from game to game, and which opponent moved it.
Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Liverpool’s last 8 matches added up: where the value came from, who produced it, and the six biggest single moves. OBV only measures what a player does with the ball: it shows who added the most on-ball value, not who was the most important player (defending off the ball, positioning and pressing are not in it).
+12.7on-ball value, 8 matches
Where the value came from
Passes4021 actions+4.01
Carries825 actions+0.87
Dribbles163 actions+0.63
Shots123 actions+4.83
Ball wins456 actions+2.37
Most on-ball value (OBV)
Actions
OBV
per 100
Cody Gakpo
284
+1.69
+0.60
Dominik Szoboszlai
497
+1.65
+0.33
Jérémy Jacquet
603
+1.42
+0.24
Florian Wirtz
510
+1.39
+0.27
Bradley Barcola
226
+1.29
+0.57
Alexis Mac Allister
484
+1.21
+0.25
Virgil van Dijk
734
+0.89
+0.12
Alexander Isak
136
+0.75
+0.55
Biggest single moves
OBV
1 Dominik Szoboszlai · shot
+0.773
2 Alexander Isak · shot
+0.645
3 Cody Gakpo · pass
+0.478
4 Jérémy Jacquet · shot
+0.416
5 Bradley Barcola · pass
+0.364
6 Alexander Isak · carry
+0.324
Set Pieces by Player
Who delivers Liverpool’s dead balls and who finishes them this season. 38 corners taken, most by Dominik Szoboszlai (18); 29 shots from corners and free kicks, 0 goals. “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Dominik Szoboszlai
18
15 (83%)
6
—
0.13
6
1/1
Alexis Mac Allister
10
5 (50%)
6
—
0.24
2
—
Florian Wirtz
7
7 (100%)
2
—
0.12
—
—
Alexander Isak
—
—
4
—
1.51
—
—
Cody Gakpo
—
—
2
—
0.08
—
—
Víctor Muñoz
—
—
2
—
0.10
—
—
Milos Kerkez
1
1 (100%)
1
—
0.02
—
—
Jeremie Frimpong
—
—
1
—
0.02
—
—
Jérémy Jacquet
—
—
1
—
0.43
—
—
Trey Nyoni
—
—
1
—
0.02
—
—
Virgil van Dijk
—
—
1
—
0.05
—
—
Rio Ngumoha
—
—
1
—
0.04
—
—
Bradley Barcola
—
—
1
—
0.04
—
—
Kostas Tsimikas
2
2 (100%)
—
—
0.00
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 216 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Florian Wirtz
M
636
2.97
22
10.0
Cody Gakpo
M
487
2.40
13
4.7
Dominik Szoboszlai
M
494
2.00
14
8.4
Alexis Mac Allister
M
608
1.04
8
9.1
Bradley Barcola
M
433
1.25
6
2.1
Jeremie Frimpong
D
217
2.90
4
2.5
Milos Kerkez
D
683
0.53
4
7.1
Alexander Isak
F
585
0.46
4
1.2
Wide Delivery Leaders
Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.
player
pos
min
crosses (completed)
cutbacks (completed)
Milos Kerkez
FB
683
12 (0%)
7 (0%)
Ronald Araujo
FB
522
6 (17%)
5 (0%)
Bradley Barcola
W
433
1 (0%)
7 (57%)
Víctor Muñoz
W
448
3 (0%)
3 (67%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Virgil van Dijk
D
760
145
7
11
26
Jérémy Jacquet
D
705
124
20
14
24
Milos Kerkez
D
683
112
14
4
22
Ronald Araujo
D
522
111
9
4
26
Alexis Mac Allister
M
608
107
15
2
36
Florian Wirtz
M
636
88
12
1
34
Dominik Szoboszlai
M
494
84
7
4
26
Cody Gakpo
M
487
77
10
7
20
Full Squad Data
Every player with 100+ minutes (17 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Virgil van Dijk
D
8
760
0
0.3
2
43
145
13.7
Alisson Becker
G
8
760
0
0.0
0
29
18
7.7
Jérémy Jacquet
D
8
705
0
0.5
3
32
124
10.4
Milos Kerkez
D
8
683
0
0.1
4
30
112
7.1
Florian Wirtz
M
8
636
0
1.6
21
31
88
10.0
Alexis Mac Allister
M
8
608
0
0.5
7
33
107
9.1
Alexander Isak
F
7
585
6
4.0
3
1
28
1.2
Ronald Araujo
D
8
522
0
0.1
1
33
111
6.7
Dominik Szoboszlai
M
6
494
1
1.3
11
35
84
8.4
Cody Gakpo
M
6
487
1
1.1
13
19
77
4.7
Víctor Muñoz
M
7
448
2
0.8
2
11
56
1.9
Bradley Barcola
M
6
433
0
0.7
6
15
68
2.1
Ryan Gravenberch
M
7
394
0
0.2
4
16
68
3.5
Jeremie Frimpong
D
5
217
0
0.0
7
18
32
2.5
Rio Ngumoha
F
6
192
0
0.3
1
3
18
0.4
Trey Nyoni
M
6
178
0
0.1
1
5
33
1.5
Lewis Koumas
F
6
151
0
0.3
0
1
20
0.4
Player Role Architecture
The question
Who does what — and what tactical job does each key player actually perform?
The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.
Virgil van Dijk
Ball-playing defender · Defender
minutes760
goals · xG0 · 0.3
prog passes /905.1
key passes /900.24
def actions /9017.2
pass accuracy89%
Alisson Becker
Goalkeeper · Goalkeeper
minutes760
goals · xG0 · 0.0
prog passes /903.4
key passes /900.00
def actions /902.1
pass accuracy78%
Jérémy Jacquet
Stopper / marker · Defender
minutes705
goals · xG0 · 0.5
prog passes /904.1
key passes /900.38
def actions /9015.8
pass accuracy89%
Milos Kerkez
Stopper / marker · Defender
minutes683
goals · xG0 · 0.1
prog passes /904.0
key passes /900.53
def actions /9014.8
pass accuracy74%
Florian Wirtz
Advanced creator · Attacking mid
minutes636
goals · xG0 · 1.6
prog passes /904.4
key passes /902.97
def actions /9012.5
pass accuracy78%
Alexis Mac Allister
Ball-winner / destroyer · Midfielder
minutes608
goals · xG0 · 0.5
prog passes /904.9
key passes /901.04
def actions /9015.8
pass accuracy83%
Alexander Isak
Poacher / finisher · Forward
minutes585
goals · xG6 · 4.0
prog passes /900.2
key passes /900.46
def actions /904.3
pass accuracy75%
Ronald Araujo
Ball-playing defender · Defender
minutes522
goals · xG0 · 0.1
prog passes /905.7
key passes /900.17
def actions /9019.1
pass accuracy76%
Dominik Szoboszlai
Advanced creator · Attacking mid
minutes494
goals · xG1 · 1.3
prog passes /906.4
key passes /902.00
def actions /9015.3
pass accuracy81%
Recruitment Intelligence — profiles to sign
The question
If you were sporting director, which player profiles would move the needle most?
Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.
Need — bottom-third: box entries /game (30th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (11.25, 30th percentile vs the league).
Need — below-average: press intensity (PPDA) (50th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (4.54, 50th percentile vs the league).